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OALib Journal期刊
ISSN: 2333-9721
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形状记忆高分子材料的网络结构化设计和性能研究
DOI: 10.7536/PC130126, PP. 1726-1738
Keywords: 形状记忆,互穿网络结构,AB型网络结构,规整网络结构,“互锁”网络拓扑结构
Abstract:
形状记忆聚合物是一种可以响应外界刺激,并调整自身状态参数,从而回复到预先设定状态的一种智能高分子材料。它是智能高分子材料研究、开发和应用的一个新热点。在智能纺织材料、生物医用材料、航空航天技术等领域显示了极为广阔的应用前景。为了使形状记忆聚合物材料在这些领域具有更加实际和广泛的应用,通常要求这些材料要有更高的固定率和回复率、更快的回复速度、优异的机械性能和良好的性能可控性。通常情况下材料的结构决定其性能,因此形状记忆聚合物的结构化设计是一个非常值得探讨的话题。本文从网络结构化设计的角度综述了基于互穿网络结构、AB型网络结构、规整网络结构、“互锁”网络拓扑结构设计的形状记忆高分子材料的研究进展,分别介绍了这些材料的结构和性能的关系、特点及其潜在应用。最后,对具有网络结构形状记忆高分子材料的发展方向和应用前景进行了展望。
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